DEVELOPMENT... OpenML
Run
3664

Run 3664

Task 2203 (Supervised Data Stream Classification) dermatology Uploaded 30-04-2014 by Jason
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Flow

moa.OzaBagAdwin_HoeffdingTree(1)Moa implementation of OzaBagAdwin
moa.HoeffdingTree(1)_bfalse
moa.HoeffdingTree(1)_c1.0E-7
moa.HoeffdingTree(1)_dNominalAttributeClassObserver
moa.HoeffdingTree(1)_e1000000
moa.HoeffdingTree(1)_g200
moa.HoeffdingTree(1)_lNBAdaptive
moa.HoeffdingTree(1)_m33554432
moa.HoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(1)_pfalse
moa.HoeffdingTree(1)_q0
moa.HoeffdingTree(1)_rfalse
moa.HoeffdingTree(1)_sInfoGainSplitCriterion
moa.HoeffdingTree(1)_t0.05
moa.HoeffdingTree(1)_zfalse
moa.OzaBagAdwin_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBagAdwin_HoeffdingTree(1)_r1
moa.OzaBagAdwin_HoeffdingTree(1)_s10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.9748
Per class
Confusion matrix
F measure
0.8888
Per class
Kappa
0.8564
KB relative information score
317.0698
Mean absolute error
0.049
Mean prior absolute error
0.2778
Number of instances
366
Per class
Precision
0.8972
Per class
Predictive accuracy
0.8852
Prior entropy
2.585
Ram hours
0
Recall
0.8852
Per class
Relative absolute error
0.1764
Root mean prior squared error
0.3727
Root mean squared error
0.1609
Root relative squared error
0.4317
Run CPU time
0.1075